ABOUT OLD NAVY

Forget what you know about old-school industry rules. When you work at Old Navy, you’re choosing a different path. From day one, we’ve been on a mission to democratize fashion and make shopping fun again. Our teams make style accessible to everyone, creating high-quality, must-have fashion essentials for the whole family, with love, season after season.
We opened our first store in 1994 in San Francisco and have been on a roll ever since. We cultivate a community of playful personalities that thrive in a fast-paced environment where our employees can be their most authentic selves. Here, we’re family.

ABOUT THE ROLE

As Manager, Marketing Strategy & Analytics you will support our Old Navy Growth Marketing team by providing actionable insights, performance analysis, and data-driven recommendations. This role will play a critical part in shaping marketing investment strategies, optimizing campaign performance, and driving customer lifetime value. The ideal candidate has a strong background in marketing analytics, consumer insights, and business strategy within the retail or fashion industry

WHAT YOU’LL DO

• Analyze marketing performance across paid media, CRM, loyalty programs, and digital channels to identify trends, opportunities, and areas for optimization.
• Develop data-driven strategies to improve customer acquisition, retention, and engagement.
• Partner with cross-functional teams, including digital marketing, e-commerce, and finance, to inform budget allocation and investment decisions.
• Build and maintain dashboards and reporting frameworks that provide visibility into key marketing KPIs and business performance.
• Conduct A/B testing and attribution modeling to refine targeting, messaging, and channel mix.
• Leverage customer segmentation and predictive analytics to personalize marketing efforts and enhance ROI.
• Monitor industry trends, competitive benchmarks, and emerging marketing technologies to ensure the brand stays ahead of the curve.
• Provide executive-level reporting and insights to senior leadership, translating complex data into clear, actionable recommendations.
• Collaborate with data science and engineering teams to enhance data collection and analytics capabilities.